On the Watts Multidimensional Poverty Index and its Decomposition

Satya R. Chakravarty; Joseph Deutsch; Jacques Silber

doi:10.1016/j.worlddev.2007.10.003

On the Watts Multidimensional Poverty Index and its Decomposition

Satya R. Chakravarty
, Joseph Deutsch
, Jacques Silber

Indian Statistical Institute

Research output: Contribution to journal › Article › peer-review

55 Scopus citations

Abstract

The multidimensional extension of the Watts poverty index may be expressed as a function of five determinants measuring, respectively, the impacts of what are defined in the paper as the Watts poverty gap ratio, the Theil-Bourguignon index of inequality among the poor, the overall headcount ratio, the weights of the various dimensions, and some measure of correlation between the various dimensions. Using the Shapley decomposition, we apply this index to world data on the per capita GDP, life expectancy, and literacy rates and derive the contributions of the five determinants defined above to the variation of this index during 1993-2002.

Original language	English
Pages (from-to)	1067-1077
Number of pages	11
Journal	World Development
Volume	36
Issue number	6
DOIs	https://doi.org/10.1016/j.worlddev.2007.10.003
State	Published - Jun 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Watts index
decomposition
multidimensional poverty

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10.1016/j.worlddev.2007.10.003

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On the Watts Multidimensional Poverty Index and its Decomposition

Abstract

UN SDGs

Keywords

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